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GraphTalks Rome - The Italian Business Graph

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Neo4j
Neo4j

This document summarizes Cerved Group's use of Neo4j and graph databases. Cerved processes large amounts of data on companies and individuals to provide credit risk management, marketing, and other services. Neo4j allows Cerved to more efficiently analyze relationships between entities, such as beneficial owners of companies. Cerved's Graph4You platform makes some of this graph data accessible to customers and data scientists to explore use cases. Cerved sees graph databases and extracting additional insights from relationships in data as important to its future.

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Rome, 8th March 2017 Fueling innovation in finance The Italian business graph Stefano Gatti – Head of Innovation & Data Sources
2 Index Overview Cerved Group Cerved & Neo4J Exploring data Neo4j for data scientists Toward the future Free thinking Graph4You Neo4j for innovation The starting point …
Overview
4 Our business & figures CREDIT INFORMATION MARKETING SOLUTIONS CREDIT MANAGEMENT 1000 report/min ✓ Documents 50 million ✓ Lines of code 34,000 ✓ Customers 59 million ✓ Payments data 1,800 ✓ People 377 million Eur (2016) ✓ Revenue Protect your business against credit risk Find new business opportunities Optimize credit management processes
5 Our “big data” Web Data Open Data Proprietary data Official data Chamber of Commerce official data A c c u r a c y C o m p l e x i t y
Cerved & Neo4J
7 The beneficial owner of a company Level 1: 10% Level 3: 24.4% Level 4: 34.2% ACME spa Soc. A (40%) Soc. B (50%) Willy (10%) Soc. A1 (40%) Soc. A2 (60%) Soc. B1 (40%) Soc. B2 (60%) Willy (40%) Duffy (60%) Willy (40%) Soc. B1.1 (60%) Soc. B2.1 (50%) Speedy (50%) Willy (90%) Bunny (10%) Level 2: 10%
8 2012: a real-time & IT-cost problem … solved! Relational database Neo4J Average time 369 ms (till 4th level) > 12 sec (from 4th level) 39 ms (till 15th level) • Computed on 2.238.000 companies & 2.756.000 distinct people • About 150.000 computation/hour • More than 350.000 push notification to our customers (mainly banks) in last 6 months Neo4J in cluster configuration (two standard servers 12GB RAM) with usage of Traversal Framework & In-Memory Caching. Average usage of CPU < 5% Level Beneficial Owners 1 3.379.755 2 202.194 3 44.589 4 11.236 5 3.403 6 1.364 7 464 8 304 9 123 10 61 11 36 12 16 13 6 14 4 15 2 2016 - Statistics
9 Aracne Administration Dashboard 5 kinds of relationships : • Actual Shareholders • Past Shareholders • Actual Managers • Past Managers • M&A Operations 2 kinds of nodes : • Companies • People (Managers & Shareholders)
Graph4You
11 2015 - Graph4you: from datascientists to the market Born as a living datascientist lab for exploring data has easily matched some use-cases of our customers graph4you.cerved.com http://developer.cerved.com/ Nodes • Companies • Registered 8,1 M (of which) not active 1,9 M • Not Registered 1,6 M • Not Italian 320 K • People 16,4 M • Locations 4,5 M • Customer data Relationships • Manager 15,6 M • Shareholders 8 M • Building property 14,7 M • Current address 16,7 M • Beneficial Ownership 3,6 M • M&A 100K Filter: • Kind of nodes • Connection degree • Kind of relationship • Property of relationship =͂ 30 M Nodes =͂ 59 M Egdes
12 Graph4you Architecture diagram WEB APP FRONT - END SPRING BOOT LINKURIOUS.JS BOOTSTRAP CUSTOM CODE JASPER REPORT SPRING BOOT SPRING JAVA Shortest Path Traversal REST API BACK - END API Transactional HTTP API INGESTION Graph fileMySQL
Graph4YouLive
15 Graph4You - API User AppUX Developer API Dev Portal API Graph4You Cerved “big data” Consumer Solution Cerved Smart Data API Framework
16 Graph4You - API
Neo4j for data scientists
18 Cerved corporate linkages Made using Neo4J as OLTP database and computing in-memory the proprietary algorithm Made in 2014 in partnership with SPAZIODATI 22% Better recall 30% More precision with more data & managing cycles Near Real Time Levels of depth Frequency 1 178.542 2 36.435 3 5.044 4 913 5 137 6 44 7 13 8 1 9 2 Tot 221.131 Analytics on Neo4J
19 Italian industry 4.0 case study Mixing many kinds of data in a graph …
Work for future
21 Cerved future in graph journey … Critical Chain (Ex: Contagion Risk) next Corporate linkages in Graph4You Work in Progress Company similarity Work in Progress
22 Cerved big data journey: «lessons learned» Augmented data Extracting value from existing data with technology Extracting new data with technology
23 Future is not what is used to be … "The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn." Alvin Toffler
Stefano Gatti mailto: stefano.gatti@cerved.com Twitter: @micio1970 Thanks! Not Cerved images in the presentation © Jurgen Appelo, Creative Commons 3.0 BY http://www.management30.com/

More Related Content

GraphTalks Rome - The Italian Business Graph

  • 1. Rome, 8th March 2017 Fueling innovation in finance The Italian business graph Stefano Gatti – Head of Innovation & Data Sources
  • 2. 2 Index Overview Cerved Group Cerved & Neo4J Exploring data Neo4j for data scientists Toward the future Free thinking Graph4You Neo4j for innovation The starting point …
  • 4. 4 Our business & figures CREDIT INFORMATION MARKETING SOLUTIONS CREDIT MANAGEMENT 1000 report/min ✓ Documents 50 million ✓ Lines of code 34,000 ✓ Customers 59 million ✓ Payments data 1,800 ✓ People 377 million Eur (2016) ✓ Revenue Protect your business against credit risk Find new business opportunities Optimize credit management processes
  • 5. 5 Our “big data” Web Data Open Data Proprietary data Official data Chamber of Commerce official data A c c u r a c y C o m p l e x i t y
  • 7. 7 The beneficial owner of a company Level 1: 10% Level 3: 24.4% Level 4: 34.2% ACME spa Soc. A (40%) Soc. B (50%) Willy (10%) Soc. A1 (40%) Soc. A2 (60%) Soc. B1 (40%) Soc. B2 (60%) Willy (40%) Duffy (60%) Willy (40%) Soc. B1.1 (60%) Soc. B2.1 (50%) Speedy (50%) Willy (90%) Bunny (10%) Level 2: 10%
  • 8. 8 2012: a real-time & IT-cost problem … solved! Relational database Neo4J Average time 369 ms (till 4th level) > 12 sec (from 4th level) 39 ms (till 15th level) • Computed on 2.238.000 companies & 2.756.000 distinct people • About 150.000 computation/hour • More than 350.000 push notification to our customers (mainly banks) in last 6 months Neo4J in cluster configuration (two standard servers 12GB RAM) with usage of Traversal Framework & In-Memory Caching. Average usage of CPU < 5% Level Beneficial Owners 1 3.379.755 2 202.194 3 44.589 4 11.236 5 3.403 6 1.364 7 464 8 304 9 123 10 61 11 36 12 16 13 6 14 4 15 2 2016 - Statistics
  • 9. 9 Aracne Administration Dashboard 5 kinds of relationships : • Actual Shareholders • Past Shareholders • Actual Managers • Past Managers • M&A Operations 2 kinds of nodes : • Companies • People (Managers & Shareholders)
  • 11. 11 2015 - Graph4you: from datascientists to the market Born as a living datascientist lab for exploring data has easily matched some use-cases of our customers graph4you.cerved.com http://developer.cerved.com/ Nodes • Companies • Registered 8,1 M (of which) not active 1,9 M • Not Registered 1,6 M • Not Italian 320 K • People 16,4 M • Locations 4,5 M • Customer data Relationships • Manager 15,6 M • Shareholders 8 M • Building property 14,7 M • Current address 16,7 M • Beneficial Ownership 3,6 M • M&A 100K Filter: • Kind of nodes • Connection degree • Kind of relationship • Property of relationship =͂ 30 M Nodes =͂ 59 M Egdes
  • 12. 12 Graph4you Architecture diagram WEB APP FRONT - END SPRING BOOT LINKURIOUS.JS BOOTSTRAP CUSTOM CODE JASPER REPORT SPRING BOOT SPRING JAVA Shortest Path Traversal REST API BACK - END API Transactional HTTP API INGESTION Graph fileMySQL
  • 14. 15 Graph4You - API User AppUX Developer API Dev Portal API Graph4You Cerved “big data” Consumer Solution Cerved Smart Data API Framework
  • 16. Neo4j for data scientists
  • 17. 18 Cerved corporate linkages Made using Neo4J as OLTP database and computing in-memory the proprietary algorithm Made in 2014 in partnership with SPAZIODATI 22% Better recall 30% More precision with more data & managing cycles Near Real Time Levels of depth Frequency 1 178.542 2 36.435 3 5.044 4 913 5 137 6 44 7 13 8 1 9 2 Tot 221.131 Analytics on Neo4J
  • 18. 19 Italian industry 4.0 case study Mixing many kinds of data in a graph …
  • 20. 21 Cerved future in graph journey … Critical Chain (Ex: Contagion Risk) next Corporate linkages in Graph4You Work in Progress Company similarity Work in Progress
  • 21. 22 Cerved big data journey: «lessons learned» Augmented data Extracting value from existing data with technology Extracting new data with technology
  • 22. 23 Future is not what is used to be … "The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn." Alvin Toffler
  • 23. Stefano Gatti mailto: stefano.gatti@cerved.com Twitter: @micio1970 Thanks! Not Cerved images in the presentation © Jurgen Appelo, Creative Commons 3.0 BY http://www.management30.com/